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The following publications provide additional information about GPE5 and signal processing research at Southwest Research Institute (SwRI):
2011K. Holladay, J.M. Sharp, and M. Janssens, "Automatic Pyrolysis Mass Loss Modeling from Thermo- Gravimetric Analysis Data Using Genetic Programming," presented at ACM Genetic and Evolutionary Computation Conference, Dublin, Ireland, July 2011
2009K. Holladay, "Characterizing the Genetic Programming Environment for FIFTH (GPE5) on a High Performance Computing Cluster," presented at ACM Genetic and Evolutionary Computation Conference, Montreal, Canada, July 2009
2007Holladay, Kenneth and Kay A. Robbins, "Evolution of Signal Processing Algorithms Using Vector Based Genetic Programming," presented at IEEE International Conference on Digital Signal Processing, Cardiff, Wales, July 2007.
Holladay, Kenneth, Kay A. Robbins, and Jeffery von Ronne, "FIFTH: A Stack Based GP Language for Vector Processing," presented at EuroGP, Valencia, Spain, April 2007.
2004Holladay, Kenneth and Kay A. Robbins, "A Framework for Automatic Large-Scale Testing and Characterization of Signal Processing Algorithms," presented at Military Communications (MILCOM), Monterey, CA, October 2004.
Holladay, Kenneth and Kay A. Robbins, "Experimental Analysis of Wavelet Transforms for Estimating PSK Symbol Rate," presented at IASTED International Conference on Communication Systems and Applications, Banff, Canada, July 2004.
2003Holladay, Kenneth, Michael Koets, Denise Varner, et al., "A Configurable Signal Analyzer for Embedded Systems," presented at Military Communications (MILCOM), Boston, MA, October 2003.
2002Holladay, Kenneth, Kay A. Robbins, and Denise Varner, "An XML Schema for Digital Communication Signal Research," presented at XML 2002, Baltimore, MD, December 2002.
An excellent genetic program (GP) bibliography is maintained by William Langdon.
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| Software Engineering Department | Signal Exploitation & Geolocation Division | SwRI Home | |
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Southwest Research Institute® (SwRI®), headquartered in San Antonio, Texas, is a multidisciplinary, independent, nonprofit, applied engineering and physical sciences research and development organization with 11 technical divisions. |
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January 02, 2013 |
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